algolia-search
tessl i github:sickn33/antigravity-awesome-skills --skill algolia-searchExpert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning Use when: adding search to, algolia, instantsearch, search api, search functionality.
Validation
75%| Criteria | Description | Result |
|---|---|---|
metadata_version | 'metadata' field is not a dictionary | Warning |
license_field | 'license' field is missing | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
body_examples | No examples detected (no code fences and no 'Example' wording) | Warning |
Total | 12 / 16 Passed | |
Implementation
27%This skill provides a reasonable conceptual overview of Algolia integration patterns but fails to deliver actionable guidance. The complete absence of executable code examples for a code-heavy topic severely limits usefulness, and the placeholder 'Sharp Edges' table with empty 'Issue' entries and generic 'See docs' solutions provides zero value while consuming tokens.
Suggestions
Add executable code examples for each pattern (React InstantSearch setup, Next.js SSR configuration, indexing operations) with actual import statements and working snippets
Complete the Sharp Edges table with actual issues, specific severity levels, and concrete solutions or links to relevant documentation files
Add explicit file references for detailed API documentation, examples, and troubleshooting guides (e.g., 'See [INDEXING.md](INDEXING.md) for batch operation examples')
Include validation steps for indexing operations, such as how to verify sync status or handle failed batch uploads
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Content is relatively lean and avoids over-explaining basic concepts, but the 'Sharp Edges' table is entirely placeholder content ('Issue', 'See docs') which wastes tokens without providing value. | 2 / 3 |
Actionability | No executable code examples provided despite describing code-heavy integrations. Lists hooks and approaches abstractly without showing actual implementation patterns, import statements, or copy-paste ready snippets. | 1 / 3 |
Workflow Clarity | The indexing section lists three approaches with some best practices, but lacks explicit step sequences or validation checkpoints. No feedback loops for error handling in sync operations. | 2 / 3 |
Progressive Disclosure | No references to external files for detailed content. The 'Sharp Edges' table references 'See docs' without any actual links or file paths. Content is a flat structure without clear navigation to deeper resources. | 1 / 3 |
Total | 6 / 12 Passed |
Activation
90%This is a solid skill description with excellent trigger terms and completeness. The explicit 'Use when:' clause with natural keywords makes it easy for Claude to select appropriately. The main weakness is the somewhat vague 'expert patterns' phrasing rather than listing specific concrete actions the skill enables.
Suggestions
Replace 'Expert patterns for' with specific concrete actions like 'Configure search indices, implement faceted navigation, set up query rules, and optimize relevance ranking for Algolia search'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Algolia search) and mentions some actions like 'implementation, indexing strategies, relevance tuning', but uses vague terms like 'expert patterns' rather than listing concrete specific actions like 'configure facets, set searchable attributes, implement query suggestions'. | 2 / 3 |
Completeness | Clearly answers both what (Algolia search implementation, indexing, React InstantSearch, relevance tuning) and when (explicit 'Use when:' clause with trigger terms). The structure explicitly addresses both questions. | 3 / 3 |
Trigger Term Quality | Includes good natural keywords users would say: 'algolia', 'instantsearch', 'search api', 'search functionality', 'adding search'. These cover the main ways users would describe needing this skill. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with Algolia-specific terminology (InstantSearch, relevance tuning) and explicit product name. Unlikely to conflict with generic search skills or other search provider skills due to clear Algolia focus. | 3 / 3 |
Total | 11 / 12 Passed |
Reviewed
Table of Contents
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